{"id":"W1554146886","doi":"","title":"Harmoniser le Droit Dans un Espace Multilingue et Pluri-Juridique: Un Point de Vue Canadien (Legal Harmonization in a Multilingual and Poly-Jural Space: A Canadian View)","year":2008,"lang":"fr","type":"article","venue":"SSRN Electronic Journal","topic":"Comparative and International Law Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Harmonization; Law; Political science; Legal pluralism; Civil law (Civil law); Legal research; Public law; Legal realism","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002878196,0.0004134761,0.0004875445,0.002301783,0.02050726,0.0159281,0.001886475,0.002664762,0.00633763],"category_scores_gemma":[0.004494548,0.0003075146,0.0004400136,0.00438626,0.03080963,0.006969308,0.005328868,0.00471592,0.0004098864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0827522,"about_ca_system_score_gemma":0.1033705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9742596,"about_ca_topic_score_gemma":0.9761081,"domain_scores_codex":[0.9957197,0.0006864131,0.00007786418,0.0006059568,0.001598569,0.001311553],"domain_scores_gemma":[0.9981635,0.000342279,0.0001287859,0.0001422602,0.0007972918,0.0004260266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001284415,0.000008583072,0.0008418658,0.00003290209,0.000008137487,0.00011898,0.03362263,0.000201149,0.0001311959,0.9426883,0.006140944,0.01619249],"study_design_scores_gemma":[0.00002347982,0.00002935062,0.01381943,0.0004688559,0.00004326503,0.0002412577,0.09477298,0.0007127904,0.000418912,0.1456849,0.7436519,0.000132892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1264244,0.02199261,0.007933601,0.07656889,0.0005642325,0.00006822791,0.0003219227,0.0000841151,0.766042],"genre_scores_gemma":[0.9203021,0.005720329,0.003256384,0.004014578,0.000101657,0.00002297328,0.00007754406,0.00006717103,0.06643721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0827522,"threshold_uncertainty_score":0.600412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213333921326842,"score_gpt":0.2719450397784198,"score_spread":0.2598117005651513,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}